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177
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CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
15 years 1 days ago
Online Convex Programming and regularization in adaptive control
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
Maxim Raginsky, Alexander Rakhlin, Serdar Yük...
301
Voted
CSL
2011
Springer
15 years 23 hour ago
Applications of graph theory to an English rhyming corpus
How much can we infer about the pronunciation of a language – past or present – by observing which words its speakers rhyme? This paper explores the connection between pronunc...
Morgan Sonderegger
JMLR
2011
148views more  JMLR 2011»
14 years 12 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
223
Voted
BTW
2011
Springer
218views Database» more  BTW 2011»
14 years 8 months ago
Tracking Hot-k Items over Web 2.0 Streams
Abstract: The rise of the Web 2.0 has made content publishing easier than ever. Yesterday’s passive consumers are now active users who generate and contribute new data to the web...
Parisa Haghani, Sebastian Michel, Karl Aberer
DASFAA
2011
IEEE
231views Database» more  DASFAA 2011»
14 years 8 months ago
Querying Moving Objects with Uncertainty in Spatio-Temporal Databases
Spatio-temporal uncertainty is a special feature of moving objects due to the inability of precisely capturing or predicting their continuously changing locations. Indeterminate lo...
Hechen Liu, Markus Schneider